Study protocol for valuing EQ-5D-3L and EORTC-8D health states in a representative population sample in Sri Lanka

Kularatna S., Whitty J.A., Johnson N.W. and Scuffham P.A. (2013) Study protocol for valuing EQ-5D-3L and EORTC-8D health states in a representative population sample in Sri Lanka. Health and Quality of Life Outcomes, 11 1: 149.1-149.8. doi:10.1186/1477-7525-11-149


Author Kularatna S.
Whitty J.A.
Johnson N.W.
Scuffham P.A.
Title Study protocol for valuing EQ-5D-3L and EORTC-8D health states in a representative population sample in Sri Lanka
Journal name Health and Quality of Life Outcomes   Check publisher's open access policy
ISSN 1477-7525
Publication date 2013-09-02
Year available 2013
Sub-type Article (original research)
DOI 10.1186/1477-7525-11-149
Open Access Status DOI
Volume 11
Issue 1
Start page 149.1
End page 149.8
Total pages 8
Place of publication London, United Kingdom
Publisher BioMed Central
Language eng
Subject 2739 Public Health, Environmental and Occupational Health
Formatted abstract
Background: Economic evaluations to inform decisions about allocation of health resources are scarce in Low and Middle Income Countries, including in Sri Lanka. This is in part due to a lack of country-specific utility weights, which are necessary to derive appropriate Quality Adjusted Life Years. The EQ-5D-3L, a generic multi-attribute instrument (MAUI), is most widely used to measure and value health states in high income countries; nevertheless, the sensitivity of generic MAUIs has been criticised in some conditions such as cancer. This article describes a protocol to produce both a generic EQ-5D-3L and cancer specific EORTC-8D utility index in Sri Lanka.
Method: EQ-5D-3L and EORTC-8D health states will be valued using the Time Trade-Off technique, by a representative population sample (n = 780 invited) identified using stratified multi-stage cluster sampling with probability proportionate to size method. Households will be randomly selected within 30 clusters across four districts; one adult (≥18 years) within each household will be selected using the Kish grid method.Data will be collected via face-to-face interview, with a Time Trade-Off board employed as a visual aid. Of the 243 EQ-5D-3L and 81,290 EORTC-8D health states, 196 and 84 respectively will be directly valued. In EQ-5D-3L, all health states that combine level 3 on mobility with either level 1 on usual activities or self-care were excluded. Each participant will first complete the EQ-5D-3L, rank and value 14 EQ-5D-3L states (plus the worst health state and " immediate death"), and then rank and value seven EORTC-8D states (plus " immediate death"). Participant demographic and health characteristics will be also collected.Regression models will be fitted to estimate utility indices for EQ-5D-3L and EORTC-8D health states for Sri Lanka. The dependent variable will be the utility value. Different specifications of independent variables will be derived from the ordinal EQ-5D-3L to test for the best-fitting model.
Discussion: In Sri Lanka, a LMIC health state valuation will have to be carried out using face to face interview instead of online methods. The proposed study will provide the first country-specific health state valuations for Sri Lanka, and one of the first valuations to be completed in a South Asian Country.
Keyword EORTC-8D
EQ-5D
Health state valuation
Low and middle income countries
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Non HERDC
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